Job description As a DevOps Manager, you will lead a team of DevOps & Automation Engineers, who work closely with the development and customer support teams with the goal of improving development, deployment and support. The ideal candidate comes with a deep understanding of Cloud hosting , on-premise infrastructure architecture, and automation of end-to-end release engineering processes. This hands-on technical role requires senior/expert-level skills in DevOps. Key Responsibilities: • Design, build and manage highly automated delivery pipelines using approach of Infrastructure as Code• Work with product team and deploy applications on cloud• Real time monitoring of Product environments• Trouble shoot Infra, analyze logs and apply fixes• Handle manual and repetitive maintenance tasks that are technical in nature Required Skills and Experience: • At least 7-10 years of experience in handling DevOPS Preferably leading a team for 2 Years• Handling DevOps work driven mainly in the cloud (OCI, Google, AWS, Azure) environment• Should have excellent understanding of Devops principles• Experience in the introduction of Infrastructure-as-Code (IaC)• Experience with Git and Release process.• Experience in setting up CI/CD pipelines.• Experience on Infrastructure as code development using Terraform• Proficient in containerization & deployment management, Docker & Kubernetes• Hands-on experience deploying microservices and other web applications• Experience with Ansible or an equivalent CM tool.• Experience with modern monitoring solutions including but not limited to Elasticsearch/Kibana/Grafana/Prometheus stack• Strong knowledge in any of the Code Review and Security tools• Excellent written and verbal communication skills for coordination across Product teams and Customers• Exposure to MLOps , deploying and monitoring ML models to production will be plus Innovation brains - technologists who need to break free from standard programming roles to develop vision at speed and scale and become owners of a feature or product within our platform.

Company Description Giggso is an award-winning, Michigan-based AI startup, recognized in the Top 50 Michigan Startups of 2023 & 2024. Founded in 2017, we deliver a unified platform for AI agent orchestration, governance, and observability, simplifying complex enterprise workflows. Our solutions extend to model risk management, security, and blockchain enablement, ensuring trustworthy AI across diverse industries. By automating operations and providing real-time monitoring, Giggso drives cost savings and boosts organizational intelligence. We champion responsible AI to help businesses optimize decision-making and enhance customer experiences at scale. Job Summary We are seeking an experienced and result-oriented Senior Sales Specialist to join our dynamic sales team. The ideal candidate will be responsible for driving revenue growth through new business development, managing enterprise accounts, and executing strategic sales initiatives.Key Responsibilities Identify and develop new business opportunities in assigned verticals and regionsBuild and nurture client relationships, from lead generation to deal closureConduct consultative selling and articulate Giggso's value proposition to enterprise clientsPrepare and deliver compelling sales presentations and proposalsCollaborate with pre-sales, product, and marketing teams to meet customer requirementsMeet and exceed quarterly and annual sales targetsMaintain up-to-date knowledge of industry trends, competitors, and market conditionsUse CRM tools to track leads, pipeline, and customer interactions effectively QualificationsBachelor’s degree in Business, Marketing, or a related field; MBA is a plusMinimum 5 years of experience in enterprise or B2B technology salesProven track record of meeting or exceeding sales targetsStrong interpersonal and communication skillsAbility to work independently and manage multiple accountsExperience selling SaaS, AI, analytics, or enterprise software is highly desirablePrior experience working with tech startups or high-growth companies

Job Title: Senior Machine Learning EngineerLocation: Chennai ,IndiaExperience: 3-7 YearsCompany: Giggso India Pvt. Ltd. About GiggsoGiggso is an award-winning, Michigan-based AI startup, recognized in the Top 50 Michigan Startups of 2023 & 2024. Founded in 2017, we deliver a unified platform for AI agent orchestration, governance, and observability, simplifying complex enterprise workflows. Our solutions extend to model risk management, security, and blockchain enablement, ensuring trustworthy AI across diverse industries. By automating operations and providing real-time monitoring, Giggso drives cost savings and boosts organizational intelligence.We champion responsible AI to help businesses optimize decision-making and enhance customer experiences at scale. Job Summary We are looking for a highly skilled Machine Learning Engineer to join our team and play a key role in product development, leading multiple projects, and mentoring junior members of the Machine Learning and Data Engineering team. The ideal candidate should have a strong background in end-to-end machine learning pipelines, model deployment, monitoring, and optimization. Key Responsibilities Develop, train, deploy, and monitor Machine Learning models for various business use cases.Utilize published/existing models and adapt them to improve efficiencies and meet specific business requirements.Optimize machine learning model training and inference times.Perform continuous monitoring of ML models, detect model variations, and manage retraining/redeployment processes.Handle end-to-end tasks, including data collection, preparation/annotation, validation, and model evaluation.Define and develop ML infrastructure to enhance the efficiency of ML development workflows.Collaborate with Engineers, Data Scientists, Product Managers, and Business Partners to design and implement innovative data-driven solutions.Communicate complex data science concepts effectively to technical and non-technical stakeholders. Required Skills & Qualifications Experience in productizing and deploying Machine Learning solutions.Thorough understanding of the full ML pipeline, from data collection to inference.Strong expertise in model monitoring, detecting variations, and managing retraining/redeployment processes.Proficiency in Python and experience with ML frameworks/libraries such as TensorFlow, Keras, PyTorch, spaCy, fastText, and Scikit-learn.Knowledge or experience in MLOps and ModelOps practices.Hands-on experience in Natural Language Processing (NLP), including text classification, entity extraction, and content summarization.Strong problem-solving skills with the ability to analyze, optimize, and scale models.Excellent verbal and written communication skills to collaborate effectively across teams and influence strategic decisions. What We Look For We seek innovative minds who thrive in an agile and fast-paced environment. We value technologists with a passion for ownership and innovation, who can think beyond traditional programming roles. We are looking for individuals with strong technical acumen and effective communication skills, who can drive impactful solutions and contribute to our platform's success.Why Join Us?Work on cutting-edge AI/ML technologies and real-world applications..Mentorship and leadership opportunities to grow your career.Collaborate with global teams and work on innovative projects. If you are passionate about Machine Learning and want to contribute to a dynamic team driving innovation at scale, we would love to hear from you!

Job description Company Description Founded in 2018, Giggso is a responsible AI platform for enterprise operations with security and automations. Giggso provides a single integrated platform for AI Agent orchestration, AI governance, monitoring and observability, incident management, automation, and remediation. The platform is web 3.0 and blockchain-enabled, offering Model Risk Management solutions. Giggso aims to enhance decision-making and drive efficiency in AI ML systems for better customer experiences and cost management. Role Description This is a full-time hybrid role for a Machine Learning Engineer at Giggso, located in Chennai with flexibility for remote work. The Machine Learning Engineer will be responsible for pattern recognition, developing neural networks, implementing statistical analysis, and optimizing algorithms for AI ML systems. The role involves working on complex AI ML systems and contributing to operational efficiency and risk management. Qualifications Pattern Recognition, Neural Networks, and Algorithms skills LLM programming with strong NLP background Strong background in python and math reasoning Proficiency in Statistics Ability to develop and optimize algorithms for AI ML systems Experience with pattern recognition and neural network modeling Knowledge of statistical analysis techniques Demonstrated expertise in algorithm design and implementation Strong problem-solving and analytical skills Understanding of model deployment and monitoring processes Master's is needed while PhD in Computer Science, Statistics, or related field is a plus

Company Description Founded in 2018, Giggso is a No-Code ModelOps Observability platform for Data Science, Engineering teams, and Business execs. Giggso provides a single integrated platform for monitoring and observability, incident management, automation, and self-healing for AI ML Teams. The platform is web 3.0 and blockchain-enabled, aiming to help with Model Risk Management on audit and security compliance needs. Role Description This is a full-time on-site Frontend Developer role located in Chennai at Giggso. The Frontend Developer will be responsible for implementing visual elements that users see and interact with in a web application. They will work closely with UX/UI designers and backend developers to create a seamless user experience. Qualifications Front-End Development and Responsive Web Design skills Experience in Back-End Web Development and Software Development Strong knowledge of Web Development principles Proficiency in HTML, CSS, and JavaScript Experience with frontend frameworks like React or Angular Ability to work collaboratively in a team environment Bachelor's degree in Computer Science or related field Show more Show less

Company Description Founded in 2018, Giggso is a No-Code ModelOps Observability platform for Data Science, Engineering teams, and Business execs. Giggso provides a single integrated platform for monitoring and observability, incident management, automation, and self-healing for AI ML Teams. The platform is web 3.0 and blockchain-enabled, offering benefits such as reduced OpEx costs, ROI management for AI, and improved customer experience. Job Summary: We are looking for a detail-oriented and results-driven Senior QA Engineer with a strong background in manual and automation testing to join our quality assurance team. The ideal candidate will be responsible for designing and executing robust test strategies, ensuring high-quality software delivery across web, mobile, and API platforms. You’ll play a key role in building Python-based automation frameworks, collaborating with cross-functional teams, and mentoring junior testers to drive continuous quality improvements. Responsibilities: Design, develop, and execute comprehensive test plans for web, mobile, and API applications Build and maintain automation frameworks using Python, Selenium, and Pytest Collaborate with developers, product managers, and DevOps teams to define testing scope and coverage Perform functional, regression, integration, and performance testing Manage defects throughout the lifecycle using tools like JIRA or Bugzilla Ensure seamless test integration into CI/CD pipelines using Jenkins , Git , and related tools Document and maintain high-quality QA artifacts including test cases, test reports, and user stories Act as a quality advocate and mentor within the QA team, sharing best practices and technical expertise Requirements: Bachelor’s degree in Computer Science, Engineering, or related field 2+ years of experience in software quality assurance, with expertise in both manual and automation testing Strong hands-on experience in Python for automation testing Proficient in tools such as Selenium, Pytest, Jenkins, Git , and test management platforms Excellent knowledge of SDLC , Agile methodologies , and defect lifecycle management Strong analytical and problem-solving skills with meticulous attention to detail Excellent communication skills and a collaborative team mindset Key Skills: Manual Testing (Web, API, Mobile) Test Automation with Python (Selenium, Pytest) Bug Tracking & Defect Management (JIRA, Bugzilla) Test Planning & Execution Agile/Scrum Environments CI/CD Integration (Jenkins, GitLab) Code Reviews & QA Documentation Show more Show less

Company Description Founded in 2018, Giggso is a No-Code ModelOps Observability platform for Data Science, Engineering teams, and Business execs. Giggso provides a single integrated platform for monitoring and observability, incident management, automation, and self-healing for AI ML Teams. The platform is web 3.0 and blockchain-enabled, offering benefits such as reduced OpEx costs, ROI management for AI, and improved customer experience. Job Summary: We are looking for a detail-oriented and results-driven Senior QA Engineer with a strong background in manual and automation testing to join our quality assurance team. The ideal candidate will be responsible for designing and executing robust test strategies, ensuring high-quality software delivery across web, mobile, and API platforms. You’ll play a key role in building Python-based automation frameworks, collaborating with cross-functional teams, and mentoring junior testers to drive continuous quality improvements. Responsibilities: Design, develop, and execute comprehensive test plans for web, mobile, and API applications Build and maintain automation frameworks using Python, Selenium, and Pytest Collaborate with developers, product managers, and DevOps teams to define testing scope and coverage Perform functional, regression, integration, and performance testing Manage defects throughout the lifecycle using tools like JIRA or Bugzilla Ensure seamless test integration into CI/CD pipelines using Jenkins , Git , and related tools Document and maintain high-quality QA artifacts including test cases, test reports, and user stories Act as a quality advocate and mentor within the QA team, sharing best practices and technical expertise Requirements: Bachelor’s degree in Computer Science, Engineering, or related field 2+ years of experience in software quality assurance, with expertise in both manual and automation testing Strong hands-on experience in Python for automation testing Proficient in tools such as Selenium, Pytest, Jenkins, Git , and test management platforms Excellent knowledge of SDLC , Agile methodologies , and defect lifecycle management Strong analytical and problem-solving skills with meticulous attention to detail Excellent communication skills and a collaborative team mindset Key Skills: Manual Testing (Web, API, Mobile) Test Automation with Python (Selenium, Pytest) Bug Tracking & Defect Management (JIRA, Bugzilla) Test Planning & Execution Agile/Scrum Environments CI/CD Integration (Jenkins, GitLab) Code Reviews & QA Documentation

Job Description As a DevOps Manager, you will lead a team of DevOps & Automation Engineers, who work closely with the development and customer support teams with the goal of improving development, deployment and support. The ideal candidate comes with a deep understanding of Cloud hosting , on-premise infrastructure architecture, and automation of end-to-end release engineering processes. This hands-on technical role requires senior/expert-level skills in DevOps. Key Responsibilities Design, build and manage highly automated delivery pipelines using approach of Infrastructure as Code Work with product team and deploy applications on cloud Real time monitoring of Product environments Trouble shoot Infra, analyze logs and apply fixes Handle manual and repetitive maintenance tasks that are technical in nature Required Skills And Experience At least 7-10 years of experience in handling DevOPS Preferably leading a team for 2 Years Handling DevOps work driven mainly in the cloud (OCI, Google, AWS, Azure) environment Should have excellent understanding of Devops principles Experience in the introduction of Infrastructure-as-Code (IaC) Experience with Git and Release process. Experience in setting up CI/CD pipelines. Experience on Infrastructure as code development using Terraform Proficient in containerization & deployment management, Docker & Kubernetes Hands-on experience deploying microservices and other web applications Experience with Ansible or an equivalent CM tool. Experience with modern monitoring solutions including but not limited to Elasticsearch/Kibana/Grafana/Prometheus stack Strong knowledge in any of the Code Review and Security tools Excellent written and verbal communication skills for coordination across Product teams and Customers Exposure to MLOps , deploying and monitoring ML models to production will be plus Innovation brains - technologists who need to break free from standard programming roles to develop vision at speed and scale and become owners of a feature or product within our platform.